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lambda_sum_smallest

Sum of Smallest Eigenvalues


Description

The sum of the smallest k eigenvalues of a matrix.

Usage

lambda_sum_smallest(A, k)

Arguments

A

An Expression or matrix.

k

The number of eigenvalues to sum over.

Value

An Expression representing the sum of the smallest k eigenvalues of the input.

Examples

C <- Variable(3,3)
val <- cbind(c(1,2,3), c(2,4,5), c(3,5,6))
prob <- Problem(Maximize(lambda_sum_smallest(C,2)), list(C == val))
result <- solve(prob)
result$value
result$getValue(C)

CVXR

Disciplined Convex Optimization

v1.0-10
Apache License 2.0 | file LICENSE
Authors
Anqi Fu [aut, cre], Balasubramanian Narasimhan [aut], David W Kang [aut], Steven Diamond [aut], John Miller [aut], Stephen Boyd [ctb], Paul Kunsberg Rosenfield [ctb]
Initial release

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